Configurable Acceleration of Peripheral Machine Vision Implemented using Artificial Neural Networks
Number of patents in Portfolio can not be more than 2000
United States of America Patent
Stats
-
N/A
Issued Date -
Aug 22, 2024
app pub date -
Jan 17, 2024
filing date -
Feb 16, 2023
priority date (Note) -
Published
status (Latency Note)
Importance
Abstract
Customization of a deep neural network model to analyze different regions of an image at different machine vision acuity levels. A graphical user interface presents an image captured by an image sensing pixel array and receives user interactions with the image to define regions of the machine vision acuity levels. Based on the user interactions with the graphical user interface, a region mask is generated to identify the regions of pixels in the image sensing pixel array. According to the region mask, unnecessary computations of low machine vision acuity are removed from the deep neural network model to generate a customized computing model of analyzing image data, captured by the image sensing pixel array, at the machine vision acuity levels.
First Claim
Family
International Classification(s)
- [Classification Symbol]
- [Patents Count]
Cited Art Landscape
Patent Citation Ranking
Recipient Email Address
Recipient Email Address
Comment
Recipient Email Address
Add to Portfolio(s)
To add this patent to one, or more, of your portfolios, simply click the add button.
This Patent is in these Portfolios:
Add to additional portfolios:
Last Refreshed On:
Changes done successfully